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OverviewUncertainties play a dominant role in the design and optimization of structures and infrastructures. In optimum design of structural systems due to variations of the material, manufacturing variations, variations of the external loads and modelling uncertainty, the parameters of a structure, a structural system and its environment are not given, fixed coefficients, but random variables with a certain probability distribution. The increasing necessity to solve complex problems in Structural Optimization, Structural Reliability and Probabilistic Mechanics, requires the development of new ideas, innovative methods and numerical tools for providing accurate numerical solutions in affordable computing times. This book presents the latest findings on structural optimization considering uncertainties. It contains selected contributions dealing with the use of probabilistic methods for the optimal design of different types of structures and various considerations of uncertainties. The first part is focused on reliability-based design optimization and the second part on robust design optimization. Comprising twenty-one, self-contained chapters by prominent authors in the field, it forms a complete collection of state-of-the-art theoretical advances and applications in the fields of structural optimization, structural reliability, and probabilistic computational mechanics. It is recommended to researchers, engineers, and students in civil, mechanical, naval and aerospace engineering and to professionals working on complicated costs-effective design problems. Full Product DetailsAuthor: Yannis Tsompanakis (Technical University of Crete, Heraklion, Greece) , Nikos D. Lagaros (University of Thessaly, Volos, Greece) , Manolis Papadrakakis (National Technical University of Athens, Athens, Greece) , Manolis PapadrakakisPublisher: Taylor & Francis Ltd Imprint: CRC Press Volume: v. 1 Weight: 1.400kg ISBN: 9780415452601ISBN 10: 0415452600 Pages: 656 Publication Date: 07 February 2008 Audience: College/higher education , Undergraduate , Postgraduate, Research & Scholarly Format: Hardback Publisher's Status: Active Availability: In Print ![]() This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsA. Reliability-based design optimization (RBDO) 1: Principles of reliability-based design optimization; 2: Reliability-based optimization of engineering structures; 3: Efficient approaches for system reliability-based design optimization; 4: Nondeterministic formulations of analytical target cascading for decomposition-based design optimization under uncertainty; 5: Design optimization of stochastic dynamic systems by algebraic reduced order models; 6: Stochastic system design optimization using stochastic simulation; 7: Numerical and semi-numerical methods for reliability-based design optimization; 8: Advances in solution methods for reliability-based design optimization; 9: Non-probabilistic design optimization with insufficient data using possibility and evidence theories; 10: Reliability analysis and reliability based design optimization using moment methods; 11: A decoupled approach to reliability based topology optimization for structural synthesis; 12: Sample average approximations in reliability-based structural optimization: Theory and applications; 13: Cost-benefit optimization for maintained structures; 14: A Reliability-Based Maintenance Optimization Methodoloy; 15: Overview of reliability analysis and design capabilities in DAKOTA with Application to Shape Optimization of MEMS. Part B. Robust design optimization (RDO) 16: Structural robustness and its relationship to reliability; 17: Maximum Robustness Design of Trusses via Semidefinite Programming; 18: A Taylor expansion approach to the design optimization of structures with randomness; 19: Info-gap robust design of passively controlled structures with load and model uncertainties; 20: Genetic algorithms and structural design using convex models of uncertainty; 21: Metamodel-based computing techniques for solving structural optimization problems considering uncertainties.ReviewsThis book is successful in its goal of providing an overview of recent research on structural optimization under uncertainties. The papers present a diverse set of approaches. The reader interested in identifying the state-of-the-art in RBDO and RDO would find this book to be a very useful resource . Professor Lori Graham-Brady, Department of Civil Engineering, John Hopkins University, Baltimore, Maryland, USA Author InformationYiannis Tsompanakis is an Assistant Professor of structural earthquake engineering. He has many research and practical projects in earthquake engineering and computational mechanics. His main interests include: computational dynamics, structural and geotechnical earthquake engineering, structural optimization, probabilistic mechanics, structural assessment, applications of artificial intelligence methods in engineering. Nikos D. Lagaros is an Assistant Professor of Civil Engineering. His main research interests include: *nonlinear dynamic analysis of concrete and steel structures under seismic loading, *performance-based earthquake engineering, *structural design optimization of real-world structures, *seismic risk and reliability analysis, * neural network in structural engineering, *fragility evaluation of reinforced concrete and steel structures, *inverse problems in structural dynamics, *parallel and distributed computing/Grid computing technologies, *evolutionary computations and *geotechnical earthquake engineering. Manolis Papadrakakis is a Professor in Civil Engineering His research activities are focused on the development and the application of the latest computer methods and technology to structural engineering analysis and design. He has written and edited many publications, both in English and in Greek. Tab Content 6Author Website:Countries AvailableAll regions |